Patentable/Patents/US-6442283
US-6442283

Multimedia data embedding

PublishedAugust 27, 2002
Assigneenot available in USPTO data we have
Inventorsnot available in USPTO data we have
Technical Abstract

Multimedia data embedding, such as video, image or audio data watermarking. In one embodiment, a computer-implemented method first receives a vector x of N data samples, where X=[x(0)x(1) . . . x(N−1)] and represents multimedia. Next, the method receives a vector p, where P=[p(0)p(1) . . . p(N−1)] and represents a pseudo-random sequence. Finally, the method generates a new vector x′ in which the vector p is embedded in the vector x, such that x′=[x′(0)x′(1) . . . x′(N−1)] and x′=x+aq, where a comprises a perception-based scaling factor and the vector q comprises a perceptually weighted pseudo-random sequence based on the vector p.

Patent Claims
13 claims

Legal claims defining the scope of protection, as filed with the USPTO.

1

1. A computer-implemented method comprising: receiving a vector x of N data samples, where x x( 0 )x( 1 ) . . . x(N 1) and represents multimedia; receiving a vector p, where p p( 0 )p( 1 ) . . . p(N b 1 ) and represents a pseudo-random sequence; and, generating a new vector x in which the vector p is embedded in the vector x, such that x x ( 0 )x ( 1 ) . . . x (N 1) and x x aq where a comprises a perception-based scaling factor and the vector q comprises a perceptually weighted pseudo-random sequence based on the vector p; wherein q p*w, where w represents a weighting function, and wherein w ( i ) = 1 Nf k = - ( Nf - 1 ) / 2 ( Nf - 1 ) / 2 x ( i - k ) , and f, represents a frequency and N represents a length.

2

2. The computer-implemented method of claim 1 , wherein the vector x represents multimedia selected from the group essentially consisting of: audio, image, and video.

3

3. The computer-implemented method of claim 1 , wherein the vector p represents a cryptographically secure pseudo-random sequence.

4

4. The computer-implemented method of claim 1 , wherein generating the new vector x in which the vector p is embedded in the vector x comprises generating the new vector x in a discrete cosine transform (DCT) domain.

5

5. The computer-implemented method of claim 1 , wherein receiving the vector p comprises generating the vector p using a pseudo-random sequence generator selected from the group essentially consisting of: RSA, Rabin, Blum/Micali, and Blum/Blum/Shub.

6

6. A computer-implemented method comprising: receiving a vector x of N data samples in which a vector p is embedded in a vector x, such that x x( 0 )x( 1 ) . . . x(N 1) and represents multimedia, p p( 0 )p( 1 ) . . . p(N 1) and represents a pseudo-random sequence, x x ( 0 )x ( 1 ) . . . x (N 1) and x x aq, where a comprises a perception-based scaling factor and the vector q comprises a perceptually weighted pseudo-random sequence based on the vector p; decoding the vector p from the vector x , including determining 1 T i = 0 N - 1 p ( i ) x ( i ) w ( i ) = 1 T i = 0 N - 1 p ( i ) x ( i ) + aq ( i ) w ( i ) = 1 T i = 0 N - 1 p ( i ) x ( i ) w ( i ) + a T i = 0 N - 1 p ( i ) q ( i ) w ( i ) , where w comprises a vector of weights, and T determines a quantization step.

7

7. The computer-implemented method of claim 6 , wherein the vector x represents multimedia selected from the group essentially consisting of: audio, image, and video.

8

8. The computer-implemented method of claim 6 , where w ( i ) = 1 Nf k = - ( Nf - 1 ) / 2 ( Nf - 1 ) / 2 x ( i - k ) , and where f represents a frequency and N represents a length.

9

9. The computer-implemented method of claim 6 , wherein T depends on a weighting mechanism.

10

10. A system to embed a key into multimedia data to generate keyed multimedia data comprising: means for receiving a vector x of N data samples, where x x( 0 )x( 1 ) . . . x(N 1) and represents multimedia; means for receiving a vector p, where p p( 0 )p( 1 ) . . . p(N 1) and represents a pseudo-random sequence; and, means for generating a new vector x in which the vector p is embedded in the vector x, such that x x ( 0 )x (1) . . . x (N 1) and x x aq, where a comprises a perception-based scaling factor and the vector q comprises a perceptually weighted pseudo-random sequence based on the vector p; wherein q p*w, where w represents a weighting function, and wherein w ( i ) = 1 Nf k = - ( Nf - 1 ) / 2 ( Nf - 1 ) / 2 x ( i - k ) , and f represents a frequency and N represents a length.

11

11. A system to decode a key from keyed multimedia data in which the key has been embedded into multimedia data comprising: means for receiving a vector x of N data samples in which a vector p is embedded in a vector x, such that x x( 0 )x( 1 ) . . . x(N1) and represents multimedia, p p( 0 )p( 1 ) . . . p(N 1) and represents a pseudo-random sequence, x x ( 0 )x ( 1 ) . . . x (N 1) and x x aq, where a comprises a perception-based scaling factor and the vector q comprises a perceptually weighted pseudo-random sequence based on the vector p; means for decoding the vector p from the vector x , including determining 1 T i = 0 N - 1 p ( i ) x ( i ) w ( i ) = 1 T i = 0 N - 1 p ( i ) x ( i ) + aq ( i ) w ( i ) = 1 T i = 0 N - 1 p ( i ) x ( i ) w ( i ) + a T i = 0 N - 1 p ( i ) q ( i ) w ( i ) , where w comprises a vector of weights, and T determines a quantization step.

12

12. A computer-readable medium having processor instructions stored thereon for execution by a processor to perform a method comprising: receiving a vector x of N data samples, where x x( 0 )x( 1 ) . . . x(N 1) and represents multimedia; receiving a vector p, where p p( 0 )p( 1 ) . . . p(N 1) and represents a pseudo-random sequence; and generating a new vector x in which the vector p is embedded in the vector x, such that x x ( 0 )x ( 1 ) . . . x (N 1) and x x aq, where a comprises a perception-based scaling factor and the vector q comprises a perceptually weighted pseudo-random sequence based on the vector p; wherein q p*w, where w represents a weighting function, and wherein w ( i ) = 1 Nf k = - ( Nf - 1 ) / 2 ( Nf - 1 ) / 2 x ( i - k ) , and f represents a frequency and N a length.

13

13. A computer-readable medium having processor instructions stored thereon for execution by a processor to perform a method comprising: receiving a vector x of N data samples in which a vector p is embedded in a vector x, such that x x( 0 )x( 1 ) . . . x(N 1) and represents multimedia, p p( 0 )p( 1 ) . . . p(N 1) and represents a pseudo-random sequence, x x ( 0 )x ( 1 ) . . . x (N 1) and x x aq, where a comprises a perception-based scaling factor and the vector q comprises a perceptually weighted pseudo-random sequence based on the vector p; decoding the vector p from the vector x , including determining 1 T i = 0 N - 1 p ( i ) x ( i ) w ( i ) = 1 T i = 0 N - 1 p ( i ) x ( i ) + aq ( i ) w ( i ) = 1 T i = 0 N - 1 p ( i ) x ( i ) w ( i ) + a T i = 0 N - 1 p ( i ) q ( i ) w ( i ) , where w comprises a vector of weights, and T determines a quantization step.

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Patent Metadata

Filing Date

January 11, 1999

Publication Date

August 27, 2002

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